notesum.ai

Published at December 9

SeFENet: Robust Deep Homography Estimation via Semantic-Driven Feature Enhancement

cs.CV

Released Date: December 9, 2024

Authors: Zeru Shi¹, Zengxi Zhang¹, Zhiying Jiang¹, Ruizhe An¹, Jinyuan Liu¹

Aff.: ¹Dalian University of Technology, Liaoning, China

Arxiv: http://arxiv.org/pdf/2412.06352v1

Refer to caption

Methods	Normal				Low-Light				Haze				Rain
Methods	PME	PSNR	SSIM	NCC	PME	PSNR	SSIM	NCC	PME	PSNR	SSIM	NCC	PME	PSNR	SSIM	NCC
1) SIFT+RANSAC	19.669	11.604	0.420	0.537	69.175	23.754	0.656	0.341	68.755	11.932	0.652	0.180	32.341	11.507	0.397	0.486
2) SIFT+MAGSAC	18.543	11.341	0.417	0.522	69.175	23.739	0.658	0.341	68.831	10.934	0.644	0.123	31.126	10.788	0.424	0.457
3) ORB+RANSAC	53.023	11.718	0.463	0.477	69.253	23.755	0.658	0.342	69.253	11.453	0.652	0.148	67.544	10.937	0.558	0.433
4) ORB+MAGSAC	50.790	10.774	0.532	0.471	69.253	23.740	0.658	0.341	69.253	10.857	0.645	0.116	66.806	10.344	0.628	0.423
5) SPSG+RANSAC	21.353	11.357	0.400	0.522	37.697	25.531	0.628	0.478	35.562	13.215	0.650	0.489	26.235	11.365	0.335	0.516
6) SPSG+MAGSAC	14.454	11.325	0.404	0.528	28.784	25.279	0.651	0.504	22.927	12.694	0.653	0.465	18.349	11.152	0.328	0.512
7) LoFTR+RANSAC	17.449	11.109	0.419	0.500	15.571	24.712	0.640	0.463	24.637	12.202	0.637	0.386	18.459	10.978	0.335	0.485
8) LoFTR+MAGSAC	16.085	11.132	0.418	0.503	15.731	24.792	0.644	0.473	24.207	12.177	0.639	0.393	16.818	10.979	0.333	0.486
9) CAHomo	76.271	8.938	0.253	0.269	71.546	21.952	0.465	0.193	71.392	9.719	0.473	0.096	75.359	8.663	0.189	0.227
10) BasesHomo	15.567	19.028	0.557	0.749	14.467	31.518	0.855	0.751	13.815	34.760	0.886	0.830	14.441	19.240	0.395	0.697
11) HomoGAN	18.394	20.495	0.625	0.841	15.870	32.017	0.869	0.880	15.220	35.858	0.902	0.981	17.591	20.337	0.470	0.830
12) DHN	63.891	18.650	0.528	0.722	67.690	31.273	0.846	0.721	67.437	34.932	0.881	0.809	64.388	19.051	0.377	0.698
13) LocalTrans	12.631	17.814	0.480	0.734	12.801	31.191	0.839	0.806	12.705	34.742	0.881	0.970	12.693	18.670	0.367	0.738
14) RealSH	27.287	14.414	0.397	0.497	42.284	29.242	0.810	0.552	45.465	31.737	0.870	0.864	33.601	15.651	0.303	0.518
15) MCNet	11.658	17.738	0.505	0.795	11.943	31.442	0.851	0.883	12.704	34.732	0.893	0.987	12.053	18.868	0.418	0.825
16) Ours	5.186	20.821	0.632	0.891	5.394	32.995	0.886	0.934	7.043	36.612	0.912	0.990	6.073	20.939	0.507	0.895